/ml_demo

machine learning python script analyzing data from my workplace to create actionable business insights

Primary LanguageJupyter Notebook

  • This project involves analyzing data from Embers, a non-profit temp staffing agency that works with marginalized individuals. The goal is to improve the organization's dispatch and assignment process using data-driven insights.
  • The project uses a Microsoft SQL database, which is accessed through TempsPlus, a legacy program that lacks analytical capabilities.
  • The six tables analyzed include applicants, customers, history, summary, placements, and orders.
  • A hypothesis is proposed that profitability can be predicted by analyzing customer attributes.
  • A predictive machine learning model that allowed us to predict with significant certainty, the percentage profitability of a specific customer given his address, and historical billing rate is built.